Haze is mainly occurred by atmospheric phenomena. Recently, many researchers in haze removal algorithm area are using single image. At the single image, we can't use depth information. To estimate the thickness of haze without depth information is not easy. As a result, single image haze removal method includes halo effect. In this paper, we propose halo effect suppression for single image haze removal method. Conventional halo removal method required a lot of time, but the proposed method is to lower the computational complexity.
K. P. SenthilkumarP. Sivakumar
Y.-H. ShiauPei‐Yin ChenHung‐Yu YangC.-H. ChenSailei Wang